Pandas Profiling Report

Dataset statistics

Number of variables	22
Number of observations	914
Missing cells	1281
Missing cells (%)	6.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	203.7 KiB
Average record size in memory	228.2 B

Variable types

Categorical	14
Numeric	8

Alerts

`drive_train` has constant value "fwd"	Constant
`name` has a high cardinality: 216 distinct values	High cardinality
`model` has a high cardinality: 87 distinct values	High cardinality
`engine_type` has a high cardinality: 91 distinct values	High cardinality
`fuel_economy` has a high cardinality: 158 distinct values	High cardinality
`year` is highly overall correlated with `mileage` and 1 other fields	High correlation
`mileage` is highly overall correlated with `year`	High correlation
`fuel_capacity` is highly overall correlated with `cc_displacement` and 8 other fields	High correlation
`cc_displacement` is highly overall correlated with `fuel_capacity` and 6 other fields	High correlation
`bhp` is highly overall correlated with `fuel_capacity` and 6 other fields	High correlation
`torque` is highly overall correlated with `fuel_capacity` and 7 other fields	High correlation
`price` is highly overall correlated with `year` and 7 other fields	High correlation
`engine_litres` is highly overall correlated with `fuel_capacity` and 8 other fields	High correlation
`make` is highly overall correlated with `fuel_capacity` and 3 other fields	High correlation
`model` is highly overall correlated with `fuel_capacity` and 11 other fields	High correlation
`body_style` is highly overall correlated with `model` and 1 other fields	High correlation
`seating_capacity` is highly overall correlated with `fuel_capacity` and 2 other fields	High correlation
`fuel_type` is highly overall correlated with `torque` and 2 other fields	High correlation
`engine_type` is highly overall correlated with `fuel_capacity` and 12 other fields	High correlation
`transmission_gears` is highly overall correlated with `engine_type`	High correlation
`transmission_type` is highly overall correlated with `model`	High correlation
`emission_class` is highly overall correlated with `model` and 1 other fields	High correlation
`num_owners` is highly imbalanced (58.5%)	Imbalance
`seating_capacity` is highly imbalanced (85.9%)	Imbalance
`fuel_type` is highly imbalanced (55.9%)	Imbalance
`transmission_gears` is highly imbalanced (55.7%)	Imbalance
`engine_litres` has 393 (43.0%) missing values	Missing
`drive_train` has 888 (97.2%) missing values	Missing

Reproduction

Analysis started	2023-07-17 02:38:52.601756
Analysis finished	2023-07-17 02:39:23.498026
Duration	30.9 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

name
Categorical

Distinct	216
Distinct (%)	23.6%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

vxi	74
sportz	51
sx	30
asta	28
alpha	27
Other values (211)	704

Length

Max length	26
Median length	21
Mean length	6.7943107
Min length	0

Characters and Unicode

Total characters	6210
Distinct characters	41
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	9.8%

Sample

1st row	highline at (d)
2nd row	sx
3rd row	vx
4th row	rxt amt
5th row	asta

Common Values

Value	Count	Frequency (%)
vxi	74	8.1%
sportz	51	5.6%
sx	30	3.3%
asta	28	3.1%
alpha	27	3.0%
vx	25	2.7%
titanium	23	2.5%
magna	23	2.5%
vxi amt	19	2.1%
v	17	1.9%
Other values (206)	597	65.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vxi	121	7.7%
sx	97	6.2%
plus	75	4.8%
at	74	4.7%
sportz	70	4.5%
amt	67	4.3%
o	61	3.9%
asta	58	3.7%
zxi	49	3.1%
vx	43	2.7%
Other values (112)	851	54.3%

Most occurring characters

Value	Count	Frequency (%)
t	665	10.7%
	654	10.5%
a	575	9.3%
x	442	7.1%
i	439	7.1%
s	425	6.8%
v	291	4.7%
p	283	4.6%
l	245	3.9%
r	244	3.9%
Other values (31)	1947	31.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5181	83.4%
Space Separator	654	10.5%
Decimal Number	126	2.0%
Open Punctuation	90	1.4%
Close Punctuation	90	1.4%
Math Symbol	47	0.8%
Other Punctuation	16	0.3%
Dash Punctuation	6	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	665	12.8%
a	575	11.1%
x	442	8.5%
i	439	8.5%
s	425	8.2%
v	291	5.6%
p	283	5.5%
l	245	4.7%
r	244	4.7%
o	226	4.4%
Other values (15)	1346	26.0%

Decimal Number

Value	Count	Frequency (%)
1	38	30.2%
2	20	15.9%
0	18	14.3%
5	17	13.5%
4	16	12.7%
8	14	11.1%
6	2	1.6%
9	1	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	11	68.8%
/	4	25.0%
&	1	6.2%

Space Separator

Value	Count	Frequency (%)
	654	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	90	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	90	100.0%

Math Symbol

Value	Count	Frequency (%)
+	47	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5181	83.4%
Common	1029	16.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	665	12.8%
a	575	11.1%
x	442	8.5%
i	439	8.5%
s	425	8.2%
v	291	5.6%
p	283	5.5%
l	245	4.7%
r	244	4.7%
o	226	4.4%
Other values (15)	1346	26.0%

Common

Value	Count	Frequency (%)
	654	63.6%
(	90	8.7%
)	90	8.7%
+	47	4.6%
1	38	3.7%
2	20	1.9%
0	18	1.7%
5	17	1.7%
4	16	1.6%
8	14	1.4%
Other values (6)	25	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6210	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	665	10.7%
	654	10.5%
a	575	9.3%
x	442	7.1%
i	439	7.1%
s	425	6.8%
v	291	4.7%
p	283	4.6%
l	245	3.9%
r	244	3.9%
Other values (31)	1947	31.4%

make
Categorical

Distinct	16
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

hyundai	293
maruti suzuki	285
honda	73
renault	66
ford	46
Other values (11)	151

Length

Max length	13
Median length	10
Mean length	8.5568928
Min length	3

Characters and Unicode

Total characters	7821
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	volkswagen
2nd row	hyundai
3rd row	honda
4th row	renault
5th row	hyundai

Common Values

Value	Count	Frequency (%)
hyundai	293	32.1%
maruti suzuki	285	31.2%
honda	73	8.0%
renault	66	7.2%
ford	46	5.0%
toyota	30	3.3%
volkswagen	27	3.0%
tata	23	2.5%
mg motors	23	2.5%
mahindra	18	2.0%
Other values (6)	30	3.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
hyundai	293	24.0%
maruti	285	23.3%
suzuki	285	23.3%
honda	73	6.0%
renault	66	5.4%
ford	46	3.8%
toyota	30	2.5%
volkswagen	27	2.2%
motors	23	1.9%
mg	23	1.9%
Other values (8)	71	5.8%

Most occurring characters

Value	Count	Frequency (%)
u	1217	15.6%
i	893	11.4%
a	876	11.2%
t	489	6.3%
n	488	6.2%
r	444	5.7%
d	438	5.6%
h	390	5.0%
s	351	4.5%
m	349	4.5%
Other values (14)	1886	24.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7513	96.1%
Space Separator	308	3.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	1217	16.2%
i	893	11.9%
a	876	11.7%
t	489	6.5%
n	488	6.5%
r	444	5.9%
d	438	5.8%
h	390	5.2%
s	351	4.7%
m	349	4.6%
Other values (13)	1578	21.0%

Space Separator

Value	Count	Frequency (%)
	308	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7513	96.1%
Common	308	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	1217	16.2%
i	893	11.9%
a	876	11.7%
t	489	6.5%
n	488	6.5%
r	444	5.9%
d	438	5.8%
h	390	5.2%
s	351	4.7%
m	349	4.6%
Other values (13)	1578	21.0%

Common

Value	Count	Frequency (%)
	308	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7821	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	1217	15.6%
i	893	11.4%
a	876	11.2%
t	489	6.3%
n	488	6.2%
r	444	5.7%
d	438	5.6%
h	390	5.0%
s	351	4.5%
m	349	4.5%
Other values (14)	1886	24.1%

model
Categorical

HIGH CARDINALITY HIGH CORRELATION

Distinct	87
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

elite i20	64
i10	36
grand i10	35
baleno	32
verna	32
Other values (82)	715

Length

Max length	16
Median length	14
Mean length	6.3041575
Min length	2

Characters and Unicode

Total characters	5762
Distinct characters	35
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	1.6%

Sample

1st row	ameo
2nd row	i20 active
3rd row	wr-v
4th row	kwid
5th row	grand i10

Common Values

Value	Count	Frequency (%)
elite i20	64	7.0%
i10	36	3.9%
grand i10	35	3.8%
baleno	32	3.5%
verna	32	3.5%
ciaz	30	3.3%
kwid	28	3.1%
city	28	3.1%
ecosport	27	3.0%
alto k10	27	3.0%
Other values (77)	575	62.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
i20	93	7.8%
i10	76	6.4%
elite	64	5.4%
alto	53	4.5%
grand	40	3.4%
verna	38	3.2%
baleno	32	2.7%
swift	32	2.7%
dzire	31	2.6%
ciaz	30	2.5%
Other values (83)	698	58.8%

Most occurring characters

Value	Count	Frequency (%)
e	622	10.8%
i	596	10.3%
r	433	7.5%
a	418	7.3%
t	414	7.2%
o	390	6.8%
0	276	4.8%
	273	4.7%
c	243	4.2%
n	236	4.1%
Other values (25)	1861	32.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4895	85.0%
Decimal Number	538	9.3%
Space Separator	273	4.7%
Dash Punctuation	35	0.6%
Other Punctuation	21	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	622	12.7%
i	596	12.2%
r	433	8.8%
a	418	8.5%
t	414	8.5%
o	390	8.0%
c	243	5.0%
n	236	4.8%
s	235	4.8%
l	234	4.8%
Other values (15)	1074	21.9%

Decimal Number

Value	Count	Frequency (%)
0	276	51.3%
1	130	24.2%
2	94	17.5%
8	25	4.6%
5	5	0.9%
4	5	0.9%
3	3	0.6%

Space Separator

Value	Count	Frequency (%)
	273	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	35	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	21	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4895	85.0%
Common	867	15.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	622	12.7%
i	596	12.2%
r	433	8.8%
a	418	8.5%
t	414	8.5%
o	390	8.0%
c	243	5.0%
n	236	4.8%
s	235	4.8%
l	234	4.8%
Other values (15)	1074	21.9%

Common

Value	Count	Frequency (%)
0	276	31.8%
	273	31.5%
1	130	15.0%
2	94	10.8%
-	35	4.0%
8	25	2.9%
.	21	2.4%
5	5	0.6%
4	5	0.6%
3	3	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5762	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	622	10.8%
i	596	10.3%
r	433	7.5%
a	418	7.3%
t	414	7.2%
o	390	6.8%
0	276	4.8%
	273	4.7%
c	243	4.2%
n	236	4.1%
Other values (25)	1861	32.3%

year
Real number (ℝ)

Distinct	12
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2016.8906

Minimum	2011
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.2 KiB

Quantile statistics

Minimum	2011
5-th percentile	2012
Q1	2015
median	2017
Q3	2019
95-th percentile	2021
Maximum	2022
Range	11
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.816214
Coefficient of variation (CV)	0.0013963147
Kurtosis	-0.73224576
Mean	2016.8906
Median Absolute Deviation (MAD)	2
Skewness	-0.35188597
Sum	1843438
Variance	7.9310614
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
2017	129	14.1%
2020	113	12.4%
2019	112	12.3%
2018	110	12.0%
2016	88	9.6%
2015	83	9.1%
2014	71	7.8%
2021	65	7.1%
2013	51	5.6%
2011	42	4.6%
Other values (2)	50	5.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2011	42	4.6%
2012	36	3.9%
2013	51	5.6%
2014	71	7.8%
2015	83	9.1%
2016	88	9.6%
2017	129	14.1%
2018	110	12.0%
2019	112	12.3%
2020	113	12.4%

Value	Count	Frequency (%)
2022	14	1.5%
2021	65	7.1%
2020	113	12.4%
2019	112	12.3%
2018	110	12.0%
2017	129	14.1%
2016	88	9.6%
2015	83	9.1%
2014	71	7.8%
2013	51	5.6%

color
Categorical

Distinct	15
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

white	188
red	167
grey	156
silver	126
blue	122
Other values (10)	155

Length

Max length	6
Median length	5
Mean length	4.5196937
Min length	3

Characters and Unicode

Total characters	4131
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	silver
2nd row	red
3rd row	white
4th row	bronze
5th row	orange

Common Values

Value	Count	Frequency (%)
white	188	20.6%
red	167	18.3%
grey	156	17.1%
silver	126	13.8%
blue	122	13.3%
brown	62	6.8%
black	35	3.8%
orange	19	2.1%
bronze	12	1.3%
beige	9	1.0%
Other values (5)	18	2.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
white	188	20.6%
red	167	18.3%
grey	156	17.1%
silver	126	13.8%
blue	122	13.3%
brown	62	6.8%
black	35	3.8%
orange	19	2.1%
bronze	12	1.3%
beige	9	1.0%
Other values (5)	18	2.0%

Most occurring characters

Value	Count	Frequency (%)
e	825	20.0%
r	551	13.3%
i	323	7.8%
l	302	7.3%
w	256	6.2%
b	240	5.8%
g	189	4.6%
t	188	4.6%
h	188	4.6%
d	170	4.1%
Other values (12)	899	21.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4131	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	825	20.0%
r	551	13.3%
i	323	7.8%
l	302	7.3%
w	256	6.2%
b	240	5.8%
g	189	4.6%
t	188	4.6%
h	188	4.6%
d	170	4.1%
Other values (12)	899	21.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4131	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	825	20.0%
r	551	13.3%
i	323	7.8%
l	302	7.3%
w	256	6.2%
b	240	5.8%
g	189	4.6%
t	188	4.6%
h	188	4.6%
d	170	4.1%
Other values (12)	899	21.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4131	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	825	20.0%
r	551	13.3%
i	323	7.8%
l	302	7.3%
w	256	6.2%
b	240	5.8%
g	189	4.6%
t	188	4.6%
h	188	4.6%
d	170	4.1%
Other values (12)	899	21.8%

body_style
Categorical

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

hatchback	462
sedan	207
suv	186
muv	38
crossover	21

Length

Max length	9
Median length	9
Mean length	6.6236324
Min length	3

Characters and Unicode

Total characters	6054
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	sedan
2nd row	crossover
3rd row	suv
4th row	hatchback
5th row	hatchback

Common Values

Value	Count	Frequency (%)
hatchback	462	50.5%
sedan	207	22.6%
suv	186	20.4%
muv	38	4.2%
crossover	21	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
hatchback	462	50.5%
sedan	207	22.6%
suv	186	20.4%
muv	38	4.2%
crossover	21	2.3%

Most occurring characters

Value	Count	Frequency (%)
a	1131	18.7%
c	945	15.6%
h	924	15.3%
t	462	7.6%
b	462	7.6%
k	462	7.6%
s	435	7.2%
v	245	4.0%
e	228	3.8%
u	224	3.7%
Other values (5)	536	8.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6054	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1131	18.7%
c	945	15.6%
h	924	15.3%
t	462	7.6%
b	462	7.6%
k	462	7.6%
s	435	7.2%
v	245	4.0%
e	228	3.8%
u	224	3.7%
Other values (5)	536	8.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6054	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1131	18.7%
c	945	15.6%
h	924	15.3%
t	462	7.6%
b	462	7.6%
k	462	7.6%
s	435	7.2%
v	245	4.0%
e	228	3.8%
u	224	3.7%
Other values (5)	536	8.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6054	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1131	18.7%
c	945	15.6%
h	924	15.3%
t	462	7.6%
b	462	7.6%
k	462	7.6%
s	435	7.2%
v	245	4.0%
e	228	3.8%
u	224	3.7%
Other values (5)	536	8.9%

mileage
Real number (ℝ)

Distinct	878
Distinct (%)	96.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	41728.979

Minimum	1117
Maximum	99495
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.2 KiB

Quantile statistics

Minimum	1117
5-th percentile	7872.95
Q1	22559
median	38145
Q3	58017.5
95-th percentile	88735
Maximum	99495
Range	98378
Interquartile range (IQR)	35458.5

Descriptive statistics

Standard deviation	24460.833
Coefficient of variation (CV)	0.58618336
Kurtosis	-0.67034938
Mean	41728.979
Median Absolute Deviation (MAD)	17731.5
Skewness	0.49571404
Sum	38140287
Variance	5.9833237 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59680	2	0.2%
45378	2	0.2%
56221	2	0.2%
30234	2	0.2%
31262	2	0.2%
42200	2	0.2%
50009	2	0.2%
17246	2	0.2%
6738	2	0.2%
22538	2	0.2%
Other values (868)	894	97.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1117	1	0.1%
1540	1	0.1%
2163	1	0.1%
2174	1	0.1%
3174	1	0.1%
3474	1	0.1%
3679	1	0.1%
3832	1	0.1%
4305	1	0.1%
4337	1	0.1%

Value	Count	Frequency (%)
99495	2	0.2%
99144	1	0.1%
99001	1	0.1%
98109	1	0.1%
97902	1	0.1%
97573	1	0.1%
97039	2	0.2%
96939	1	0.1%
96471	1	0.1%
96236	1	0.1%

num_owners
Categorical

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

1	770
2	140
3	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	914
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	770	84.2%
2	140	15.3%
3	4	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	770	84.2%
2	140	15.3%
3	4	0.4%

Most occurring characters

Value	Count	Frequency (%)
1	770	84.2%
2	140	15.3%
3	4	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	914	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	770	84.2%
2	140	15.3%
3	4	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	914	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	770	84.2%
2	140	15.3%
3	4	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	914	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	770	84.2%
2	140	15.3%
3	4	0.4%

seating_capacity
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

5	868
7	39
8	5
6	1
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	914
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.2%

Sample

1st row	5
2nd row	5
3rd row	5
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
5	868	95.0%
7	39	4.3%
8	5	0.5%
6	1	0.1%
4	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	868	95.0%
7	39	4.3%
8	5	0.5%
6	1	0.1%
4	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
5	868	95.0%
7	39	4.3%
8	5	0.5%
6	1	0.1%
4	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	914	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	868	95.0%
7	39	4.3%
8	5	0.5%
6	1	0.1%
4	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	914	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	868	95.0%
7	39	4.3%
8	5	0.5%
6	1	0.1%
4	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	914	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	868	95.0%
7	39	4.3%
8	5	0.5%
6	1	0.1%
4	1	0.1%

fuel_type
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

p	749
d	163
pc	2

Length

Max length	2
Median length	1
Mean length	1.0021882
Min length	1

Characters and Unicode

Total characters	916
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	d
2nd row	p
3rd row	p
4th row	p
5th row	p

Common Values

Value	Count	Frequency (%)
p	749	81.9%
d	163	17.8%
pc	2	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
p	749	81.9%
d	163	17.8%
pc	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
p	751	82.0%
d	163	17.8%
c	2	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	916	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	751	82.0%
d	163	17.8%
c	2	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	916	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
p	751	82.0%
d	163	17.8%
c	2	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	916	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
p	751	82.0%
d	163	17.8%
c	2	0.2%

fuel_capacity
Real number (ℝ)

Distinct	21
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	41.966083

Minimum	15
Maximum	70
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.2 KiB

Quantile statistics

Minimum	15
5-th percentile	32
Q1	35
median	42
Q3	45
95-th percentile	60
Maximum	70
Range	55
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	7.8967841
Coefficient of variation (CV)	0.18817062
Kurtosis	0.9447582
Mean	41.966083
Median Absolute Deviation (MAD)	5
Skewness	0.72399891
Sum	38357
Variance	62.359199
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
35	160	17.5%
45	154	16.8%
43	134	14.7%
40	96	10.5%
37	89	9.7%
60	62	6.8%
42	44	4.8%
50	35	3.8%
28	29	3.2%
52	27	3.0%
Other values (11)	84	9.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	0.1%
24	1	0.1%
27	14	1.5%
28	29	3.2%
32	27	3.0%
35	160	17.5%
36	4	0.4%
37	89	9.7%
40	96	10.5%
41	2	0.2%

Value	Count	Frequency (%)
70	5	0.5%
66	1	0.1%
60	62	6.8%
55	13	1.4%
52	27	3.0%
50	35	3.8%
48	14	1.5%
45	154	16.8%
44	2	0.2%
43	134	14.7%

engine_type
Categorical

HIGH CARDINALITY HIGH CORRELATION

Distinct	91
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

	119
kappa vtvt	77
k10b	60
i-vtec	33
vvt	33
Other values (86)	592

Length

Max length	95
Median length	24
Mean length	8.6148796
Min length	0

Characters and Unicode

Total characters	7874
Distinct characters	39
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	25 ?
Unique (%)	2.7%

Sample

1st row	tdi
2nd row	kappa
3rd row	i-vtec
4th row
5th row	kappa vtvt

Common Values

Value	Count	Frequency (%)
	119	13.0%
kappa vtvt	77	8.4%
k10b	60	6.6%
i-vtec	33	3.6%
vvt	33	3.6%
kappa	32	3.5%
f8d	25	2.7%
k series	24	2.6%
fwd	23	2.5%
mpi	23	2.5%
Other values (81)	465	50.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kappa	159	9.9%
vtvt	149	9.2%
4	79	4.9%
cylinder	78	4.8%
dual	64	4.0%
k10b	60	3.7%
vvt	57	3.5%
i-vtec	44	2.7%
series	37	2.3%
k	35	2.2%
Other values (98)	850	52.7%

Most occurring characters

Value	Count	Frequency (%)
	819	10.4%
t	702	8.9%
v	618	7.8%
i	560	7.1%
a	527	6.7%
e	448	5.7%
d	434	5.5%
p	402	5.1%
k	355	4.5%
r	339	4.3%
Other values (29)	2670	33.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6427	81.6%
Space Separator	819	10.4%
Decimal Number	498	6.3%
Dash Punctuation	121	1.5%
Other Punctuation	9	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	702	10.9%
v	618	9.6%
i	560	8.7%
a	527	8.2%
e	448	7.0%
d	434	6.8%
p	402	6.3%
k	355	5.5%
r	339	5.3%
c	336	5.2%
Other values (16)	1706	26.5%

Decimal Number

Value	Count	Frequency (%)
1	133	26.7%
4	121	24.3%
0	78	15.7%
2	63	12.7%
6	34	6.8%
8	25	5.0%
5	25	5.0%
3	11	2.2%
9	8	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	8	88.9%
/	1	11.1%

Space Separator

Value	Count	Frequency (%)
	819	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6427	81.6%
Common	1447	18.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	702	10.9%
v	618	9.6%
i	560	8.7%
a	527	8.2%
e	448	7.0%
d	434	6.8%
p	402	6.3%
k	355	5.5%
r	339	5.3%
c	336	5.2%
Other values (16)	1706	26.5%

Common

Value	Count	Frequency (%)
	819	56.6%
1	133	9.2%
-	121	8.4%
4	121	8.4%
0	78	5.4%
2	63	4.4%
6	34	2.3%
8	25	1.7%
5	25	1.7%
3	11	0.8%
Other values (3)	17	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7874	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	819	10.4%
t	702	8.9%
v	618	7.8%
i	560	7.1%
a	527	6.7%
e	448	5.7%
d	434	5.5%
p	402	5.1%
k	355	4.5%
r	339	4.3%
Other values (29)	2670	33.9%

cc_displacement
Real number (ℝ)

Distinct	38
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1283.3742

Minimum	624
Maximum	2179
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.2 KiB

Quantile statistics

Minimum	624
5-th percentile	814
Q1	1197
median	1197
Q3	1496
95-th percentile	1798
Maximum	2179
Range	1555
Interquartile range (IQR)	299

Descriptive statistics

Standard deviation	272.76855
Coefficient of variation (CV)	0.21254016
Kurtosis	1.0345116
Mean	1283.3742
Median Absolute Deviation (MAD)	198
Skewness	0.71994074
Sum	1173004
Variance	74402.683
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
1197	260	28.4%
998	97	10.6%
1199	44	4.8%
1591	34	3.7%
1248	33	3.6%
1596	31	3.4%
1497	30	3.3%
999	30	3.3%
1498	29	3.2%
796	28	3.1%
Other values (28)	298	32.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
624	2	0.2%
796	28	3.1%
799	11	1.2%
814	15	1.6%
936	2	0.2%
998	97	10.6%
999	30	3.3%
1086	14	1.5%
1193	1	0.1%
1194	2	0.2%

Value	Count	Frequency (%)
2179	15	1.6%
1991	2	0.2%
1968	1	0.1%
1956	17	1.9%
1798	13	1.4%
1696	10	1.1%
1599	1	0.1%
1598	5	0.5%
1596	31	3.4%
1591	34	3.7%

transmission_gears
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

5	707
6	153
4	35
7	16
c	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	914
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	7
2nd row	5
3rd row	5
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
5	707	77.4%
6	153	16.7%
4	35	3.8%
7	16	1.8%
c	3	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	707	77.4%
6	153	16.7%
4	35	3.8%
7	16	1.8%
c	3	0.3%

Most occurring characters

Value	Count	Frequency (%)
5	707	77.4%
6	153	16.7%
4	35	3.8%
7	16	1.8%
c	3	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	911	99.7%
Lowercase Letter	3	0.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	707	77.6%
6	153	16.8%
4	35	3.8%
7	16	1.8%

Lowercase Letter

Value	Count	Frequency (%)
c	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	911	99.7%
Latin	3	0.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	707	77.6%
6	153	16.8%
4	35	3.8%
7	16	1.8%

Latin

Value	Count	Frequency (%)
c	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	914	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	707	77.4%
6	153	16.7%
4	35	3.8%
7	16	1.8%
c	3	0.3%

transmission_type
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

m	653
a	261

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	914
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	a
2nd row	m
3rd row	m
4th row	m
5th row	m

Common Values

Value	Count	Frequency (%)
m	653	71.4%
a	261	28.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m	653	71.4%
a	261	28.6%

Most occurring characters

Value	Count	Frequency (%)
m	653	71.4%
a	261	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	914	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	653	71.4%
a	261	28.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	914	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	653	71.4%
a	261	28.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	914	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	653	71.4%
a	261	28.6%

bhp
Real number (ℝ)

Distinct	105
Distinct (%)	11.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	90.030175

Minimum	34
Maximum	177
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.3 KiB

Quantile statistics

Minimum	34
5-th percentile	55.2
Q1	74
median	82
Q3	103.25
95-th percentile	138
Maximum	177
Range	143
Interquartile range (IQR)	29.25

Descriptive statistics

Standard deviation	24.595367
Coefficient of variation (CV)	0.27319026
Kurtosis	0.98619333
Mean	90.030175
Median Absolute Deviation (MAD)	13.93
Skewness	0.87533373
Sum	82287.58
Variance	604.93205
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
82	51	5.6%
81.8	49	5.4%
67	48	5.3%
81.86	40	4.4%
88.5	30	3.3%
81.83	26	2.8%
89	26	2.8%
78.9	25	2.7%
67.04	25	2.7%
85	24	2.6%
Other values (95)	570	62.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
34	4	0.4%
35	1	0.1%
37	1	0.1%
46.3	1	0.1%
47.3	20	2.2%
47.33	3	0.3%
48	2	0.2%
53	3	0.3%
53.3	7	0.8%
53.64	1	0.1%

Value	Count	Frequency (%)
177	1	0.1%
170.63	1	0.1%
170	3	0.3%
167.68	12	1.3%
167.67	1	0.1%
164	2	0.2%
158	1	0.1%
141	11	1.2%
140	6	0.7%
138.13	1	0.1%

torque
Real number (ℝ)

Distinct	79
Distinct (%)	8.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	140.75864

Minimum	48
Maximum	380
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.3 KiB

Quantile statistics

Minimum	48
5-th percentile	74.5
Q1	109
median	114
Q3	154
95-th percentile	265
Maximum	380
Range	332
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	62.7486
Coefficient of variation (CV)	0.44578861
Kurtosis	2.5126335
Mean	140.75864
Median Absolute Deviation (MAD)	24
Skewness	1.671263
Sum	128653.4
Variance	3937.3868
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
113	104	11.4%
90	81	8.9%
110	40	4.4%
114	39	4.3%
113.75	34	3.7%
115	32	3.5%
200	30	3.3%
145	29	3.2%
114.7	26	2.8%
69	25	2.7%
Other values (69)	474	51.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
48	1	0.1%
51	1	0.1%
59	4	0.4%
62	1	0.1%
69	25	2.7%
72	11	1.2%
74.5	12	1.3%
78	1	0.1%
90	81	8.9%
91	18	2.0%

Value	Count	Frequency (%)
380	2	0.2%
350	23	2.5%
330	5	0.5%
320	3	0.3%
300	2	0.2%
280	9	1.0%
265	9	1.0%
260	9	1.0%
250	17	1.9%
248	3	0.3%

fuel_economy
Categorical

Distinct	158
Distinct (%)	17.3%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

18.6	59
18.9	51
21.01	39
18.5	37
23.1	23
Other values (153)	705

Length

Max length	18
Median length	5
Mean length	4.3719912
Min length	2

Characters and Unicode

Total characters	3996
Distinct characters	21
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	47 ?
Unique (%)	5.1%

Sample

1st row	21.66
2nd row	17.19
3rd row	16.5
4th row	21.7
5th row	18.9

Common Values

Value	Count	Frequency (%)
18.6	59	6.5%
18.9	51	5.6%
21.01	39	4.3%
18.5	37	4.0%
23.1	23	2.5%
20.36	22	2.4%
17.4	21	2.3%
22.05	15	1.6%
17.01	15	1.6%
19.1	15	1.6%
Other values (148)	617	67.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
18.6	59	6.4%
18.9	51	5.5%
21.01	39	4.2%
18.5	37	4.0%
23.1	23	2.5%
20.36	22	2.4%
17.4	21	2.3%
22.05	15	1.6%
17.01	15	1.6%
19.1	15	1.6%
Other values (153)	623	67.7%

Most occurring characters

Value	Count	Frequency (%)
1	881	22.0%
.	861	21.5%
2	545	13.6%
8	268	6.7%
0	261	6.5%
7	248	6.2%
6	219	5.5%
9	201	5.0%
5	177	4.4%
4	172	4.3%
Other values (11)	163	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3114	77.9%
Other Punctuation	862	21.6%
Lowercase Letter	14	0.4%
Space Separator	6	0.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	881	28.3%
2	545	17.5%
8	268	8.6%
0	261	8.4%
7	248	8.0%
6	219	7.0%
9	201	6.5%
5	177	5.7%
4	172	5.5%
3	142	4.6%

Lowercase Letter

Value	Count	Frequency (%)
b	3	21.4%
s	2	14.3%
i	2	14.3%
v	2	14.3%
p	2	14.3%
h	1	7.1%
r	1	7.1%
m	1	7.1%

Other Punctuation

Value	Count	Frequency (%)
.	861	99.9%
@	1	0.1%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3982	99.6%
Latin	14	0.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	881	22.1%
.	861	21.6%
2	545	13.7%
8	268	6.7%
0	261	6.6%
7	248	6.2%
6	219	5.5%
9	201	5.0%
5	177	4.4%
4	172	4.3%
Other values (3)	149	3.7%

Latin

Value	Count	Frequency (%)
b	3	21.4%
s	2	14.3%
i	2	14.3%
v	2	14.3%
p	2	14.3%
h	1	7.1%
r	1	7.1%
m	1	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	881	22.0%
.	861	21.5%
2	545	13.6%
8	268	6.7%
0	261	6.5%
7	248	6.2%
6	219	5.5%
9	201	5.0%
5	177	4.4%
4	172	4.3%
Other values (11)	163	4.1%

emission_class
Categorical

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	14.3 KiB

4	552
5	281
3	81

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	914
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	5
3rd row	4
4th row	4
5th row	5

Common Values

Value	Count	Frequency (%)
4	552	60.4%
5	281	30.7%
3	81	8.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4	552	60.4%
5	281	30.7%
3	81	8.9%

Most occurring characters

Value	Count	Frequency (%)
4	552	60.4%
5	281	30.7%
3	81	8.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	914	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	552	60.4%
5	281	30.7%
3	81	8.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	914	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	552	60.4%
5	281	30.7%
3	81	8.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	914	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	552	60.4%
5	281	30.7%
3	81	8.9%

price
Real number (ℝ)

Distinct	585
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	721344.64

Minimum	188000
Maximum	2941000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.2 KiB

Quantile statistics

Minimum	188000
5-th percentile	329300
Q1	466750
median	652000
Q3	861500
95-th percentile	1450100
Maximum	2941000
Range	2753000
Interquartile range (IQR)	394750

Descriptive statistics

Standard deviation	348866.82
Coefficient of variation (CV)	0.48363404
Kurtosis	3.8759316
Mean	721344.64
Median Absolute Deviation (MAD)	194500
Skewness	1.632434
Sum	6.59309 × 10⁸
Variance	1.2170806 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
790000	6	0.7%
699000	6	0.7%
914000	5	0.5%
625000	5	0.5%
544000	5	0.5%
396000	5	0.5%
589000	5	0.5%
651000	4	0.4%
694000	4	0.4%
628000	4	0.4%
Other values (575)	865	94.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
188000	1	0.1%
237000	1	0.1%
239000	1	0.1%
245000	1	0.1%
248000	1	0.1%
255000	1	0.1%
262000	1	0.1%
266000	1	0.1%
267000	1	0.1%
269000	1	0.1%

Value	Count	Frequency (%)
2941000	1	0.1%
2100000	1	0.1%
2019000	2	0.2%
1984000	2	0.2%
1978000	2	0.2%
1972000	1	0.1%
1958000	2	0.2%
1912000	1	0.1%
1875000	1	0.1%
1848000	2	0.2%

engine_litres
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	10
Distinct (%)	1.9%
Missing	393
Missing (%)	43.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3036468

Minimum	0.8
Maximum	2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.3 KiB

Quantile statistics

Minimum	0.8
5-th percentile	1
Q1	1.2
median	1.2
Q3	1.5
95-th percentile	1.6
Maximum	2
Range	1.2
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.2447254
Coefficient of variation (CV)	0.18772369
Kurtosis	0.7868113
Mean	1.3036468
Median Absolute Deviation (MAD)	0.2
Skewness	0.92571506
Sum	679.2
Variance	0.059890521
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1.2	242	26.5%
1.5	87	9.5%
1	79	8.6%
1.6	58	6.3%
2	23	2.5%
1.4	16	1.8%
1.1	6	0.7%
1.3	5	0.5%
0.8	4	0.4%
1.8	1	0.1%
(Missing)	393	43.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.8	4	0.4%
1	79	8.6%
1.1	6	0.7%
1.2	242	26.5%
1.3	5	0.5%
1.4	16	1.8%
1.5	87	9.5%
1.6	58	6.3%
1.8	1	0.1%
2	23	2.5%

Value	Count	Frequency (%)
2	23	2.5%
1.8	1	0.1%
1.6	58	6.3%
1.5	87	9.5%
1.4	16	1.8%
1.3	5	0.5%
1.2	242	26.5%
1.1	6	0.7%
1	79	8.6%
0.8	4	0.4%

drive_train
Categorical

CONSTANT MISSING

Distinct	1
Distinct (%)	3.8%
Missing	888
Missing (%)	97.2%
Memory size	14.3 KiB

fwd	26

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	78
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	fwd
2nd row	fwd
3rd row	fwd
4th row	fwd
5th row	fwd

Common Values

Value	Count	Frequency (%)
fwd	26	2.8%
(Missing)	888	97.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
fwd	26	100.0%

Most occurring characters

Value	Count	Frequency (%)
f	26	33.3%
w	26	33.3%
d	26	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	78	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	26	33.3%
w	26	33.3%
d	26	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	78	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	26	33.3%
w	26	33.3%
d	26	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	78	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	26	33.3%
w	26	33.3%
d	26	33.3%

Auto

Heatmap
Table

	year	mileage	fuel_capacity	cc_displacement	bhp	torque	price	engine_litres	make	model	color	body_style	num_owners	seating_capacity	fuel_type	engine_type	transmission_gears	transmission_type	emission_class
year	1.000	-0.644	-0.058	0.060	0.139	0.093	0.569	-0.090	0.209	0.409	0.098	0.176	0.184	0.123	0.131	0.385	0.119	0.210	0.455
mileage	-0.644	1.000	0.259	0.167	0.114	0.205	-0.206	0.247	0.121	0.220	0.000	0.000	0.157	0.044	0.216	0.236	0.000	0.070	0.187
fuel_capacity	-0.058	0.259	1.000	0.609	0.730	0.783	0.585	0.608	0.509	0.923	0.212	0.459	0.000	0.538	0.344	0.766	0.309	0.112	0.234
cc_displacement	0.060	0.167	0.609	1.000	0.758	0.734	0.620	0.849	0.474	0.805	0.136	0.371	0.059	0.476	0.450	0.775	0.302	0.207	0.154
bhp	0.139	0.114	0.730	0.758	1.000	0.872	0.778	0.761	0.471	0.800	0.127	0.400	0.014	0.174	0.290	0.745	0.381	0.214	0.163
torque	0.093	0.205	0.783	0.734	0.872	1.000	0.739	0.738	0.419	0.789	0.119	0.410	0.079	0.220	0.646	0.777	0.359	0.244	0.146
price	0.569	-0.206	0.585	0.620	0.778	0.739	1.000	0.515	0.445	0.614	0.126	0.376	0.122	0.118	0.268	0.614	0.342	0.287	0.228
engine_litres	-0.090	0.247	0.608	0.849	0.761	0.738	0.515	1.000	0.509	0.810	0.128	0.410	0.102	0.180	0.733	0.717	0.368	0.201	0.266
make	0.209	0.121	0.509	0.474	0.471	0.419	0.445	0.509	1.000	0.960	0.152	0.381	0.082	0.328	0.294	0.882	0.315	0.155	0.252
model	0.409	0.220	0.923	0.805	0.800	0.789	0.614	0.810	0.960	1.000	0.304	0.954	0.084	0.934	0.486	0.746	0.496	0.544	0.720
color	0.098	0.000	0.212	0.136	0.127	0.119	0.126	0.128	0.152	0.304	1.000	0.185	0.000	0.053	0.000	0.289	0.061	0.102	0.179
body_style	0.176	0.000	0.459	0.371	0.400	0.410	0.376	0.410	0.381	0.954	0.185	1.000	0.026	0.340	0.293	0.698	0.277	0.229	0.118
num_owners	0.184	0.157	0.000	0.059	0.014	0.079	0.122	0.102	0.082	0.084	0.000	0.026	1.000	0.000	0.000	0.000	0.085	0.079	0.080
seating_capacity	0.123	0.044	0.538	0.476	0.174	0.220	0.118	0.180	0.328	0.934	0.053	0.340	0.000	1.000	0.140	0.871	0.130	0.070	0.098
fuel_type	0.131	0.216	0.344	0.450	0.290	0.646	0.268	0.733	0.294	0.486	0.000	0.293	0.000	0.140	1.000	0.581	0.252	0.000	0.000
engine_type	0.385	0.236	0.766	0.775	0.745	0.777	0.614	0.717	0.882	0.746	0.289	0.698	0.000	0.871	0.581	1.000	0.549	0.401	0.609
transmission_gears	0.119	0.000	0.309	0.302	0.381	0.359	0.342	0.368	0.315	0.496	0.061	0.277	0.085	0.130	0.252	0.549	1.000	0.291	0.060
transmission_type	0.210	0.070	0.112	0.207	0.214	0.244	0.287	0.201	0.155	0.544	0.102	0.229	0.079	0.070	0.000	0.401	0.291	1.000	0.182
emission_class	0.455	0.187	0.234	0.154	0.163	0.146	0.228	0.266	0.252	0.720	0.179	0.118	0.080	0.098	0.000	0.609	0.060	0.182	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	name	make	model	year	color	body_style	mileage	num_owners	seating_capacity	fuel_type	fuel_capacity	engine_type	cc_displacement	transmission_gears	transmission_type	bhp	torque	fuel_economy	emission_class	price	engine_litres	drive_train
0	highline at (d)	volkswagen	ameo	2017	silver	sedan	44611	1	5	d	45	tdi	1498	7	a	109.00	250.00	21.66	4	657000	1.5	<NA>
1	sx	hyundai	i20 active	2016	red	crossover	20305	1	5	p	45	kappa	1197	5	m	82.00	115.00	17.19	5	682000	1.2	<NA>
2	vx	honda	wr-v	2019	white	suv	29540	2	5	p	40	i-vtec	1199	5	m	88.50	110.00	16.5	4	793000	NaN	<NA>
3	rxt amt	renault	kwid	2017	bronze	hatchback	35680	1	5	p	28		999	5	m	67.00	91.00	21.7	4	414000	1.0	<NA>
4	asta	hyundai	grand i10	2017	orange	hatchback	25126	1	5	p	43	kappa vtvt	1197	5	m	81.86	113.75	18.9	5	515000	1.2	<NA>
5	sportz	hyundai	elite i20	2016	red	hatchback	52261	1	5	p	45	kappa vtvt	1197	5	m	81.83	114.70	18.6	4	604000	1.2	<NA>
6	v mt	honda	brio	2012	grey	hatchback	28108	2	5	p	35	4 cylinder inline	1198	5	m	86.80	109.00	19.4	3	316000	NaN	<NA>
7	xz	tata	harrier	2019	grey	suv	92603	1	5	d	50	kryotec turbocharge	1956	6	a	138.00	350.00	17.0	4	1419000	2.0	<NA>
8	sportz amt vtvt	hyundai	grand i10 nios	2021	blue	hatchback	16304	1	5	p	37	kappa	1197	5	m	81.86	113.75	20.07	4	710000	1.2	<NA>
9	rxt opt	renault	kwid	2019	bronze	hatchback	26350	2	5	p	28		999	5	m	67.00	91.00	22.0	4	392000	1.0	<NA>

	name	make	model	year	color	body_style	mileage	num_owners	seating_capacity	fuel_type	fuel_capacity	engine_type	cc_displacement	transmission_gears	transmission_type	bhp	torque	fuel_economy	emission_class	price	engine_litres	drive_train
966	lxi	maruti suzuki	swift	2021	blue	hatchback	9384	1	5	p	42	k series	1197	5	a	85.80	114.0	18.6	4	590000	NaN	<NA>
967	zxi plus	maruti suzuki	swift	2020	grey	hatchback	6104	1	5	p	37	vtvt	1197	5	a	81.80	113.0	21.21	4	838000	NaN	<NA>
968	zxi amt	maruti suzuki	swift	2019	grey	hatchback	21992	2	5	p	37	vtvt	1197	5	a	81.80	113.0	21.21	4	829000	NaN	<NA>
969	rxt dual tone	renault	captur	2018	orange	suv	54137	1	5	p	50	h4k	1498	5	a	105.00	142.0	13.87	5	799000	1.5	<NA>
970	zxi amt	maruti suzuki	dzire	2017	blue	sedan	33258	1	5	p	37		1197	5	a	88.50	113.0	23.26	5	722000	1.2	<NA>
971	vtvt sx	hyundai	verna	2018	white	sedan	23869	1	5	p	43		1591	6	a	121.00	158.0	17.4	5	956000	1.6	fwd
972	vtvt sx	hyundai	verna	2019	white	sedan	14831	1	5	p	43		1591	6	a	121.00	158.0	17.4	5	1027000	1.6	fwd
973	fluidic vtvt sx at	hyundai	verna	2014	silver	sedan	52846	1	5	p	43		1591	4	a	121.00	158.0	17.01	3	736000	1.6	fwd
974	flair edition	ford	freestyle	2020	white	crossover	28335	2	5	d	42		1499	5	a	98.96	215.0	18.5	5	749000	1.5	<NA>
975	alpha amt	maruti suzuki	ignis	2018	silver	hatchback	41176	1	5	p	32	vvt	1197	5	a	81.80	113.0	20.89	5	691000	1.2	<NA>

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Math Symbol

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length